DocumentCode
1852196
Title
A method of face recognition using 3D images
Author
Yuan, Xue ; Lu, Jianming ; Yahagi, Takashi
Author_Institution
Graduate Sch. of Sci. & Technol., Chiba Univ., Japan
Volume
1
fYear
2004
fDate
25-28 July 2004
Abstract
In this paper, we present a method of face recognition using 3D images. We first compensate the poses of 3D original facial images using geometrical measurement and extract 2D gray-level data and the 3D shape data from 3D facial images to recognise. In the second step, we propose a method for face recognition based on fuzzy clustering and parallel neural networks. Experimental results for 35 persons with different pose and viewpoints demonstrate the efficiency of our algorithm.
Keywords
face recognition; feature extraction; fuzzy set theory; geometry; neural nets; pattern clustering; 2D gray level data; 3D original facial images; face recognition; fuzzy clustering; geometrical measurement; parallel neural networks; Clustering algorithms; Data mining; Face recognition; Feature extraction; Fuzzy neural networks; Head; Image recognition; Lighting; Neural networks; Shape measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2004. MWSCAS '04. The 2004 47th Midwest Symposium on
Print_ISBN
0-7803-8346-X
Type
conf
DOI
10.1109/MWSCAS.2004.1353937
Filename
1353937
Link To Document